A literature survey concludes that PUF-based and hybrid hardware trust anchors provide the best balance of security, scalability, and cost for AI-enabled IoT systems, while software-only methods are insufficient against physical tampering and cloning.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Physically Unclonable Functions for Secure IoT Authentication and Hardware-Anchored AI Model Integrity
A literature survey concludes that PUF-based and hybrid hardware trust anchors provide the best balance of security, scalability, and cost for AI-enabled IoT systems, while software-only methods are insufficient against physical tampering and cloning.